Climatic Features of Cloud Water Distribution and Cycle over China
Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are foun...
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Published in | Advances in atmospheric sciences Vol. 25; no. 3; pp. 437 - 446 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Heidelberg
SP Science Press
01.05.2008
Springer Nature B.V Graduate University of Chinese Academy of Sciences, Beijing 100049%Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 |
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Online Access | Get full text |
ISSN | 0256-1530 1861-9533 |
DOI | 10.1007/s00376-008-0437-2 |
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Abstract | Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in winter. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. |
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AbstractList | P4; Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in winter. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in winter. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. [PUBLICATION ABSTRACT] Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in winter. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period 1984–2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP are found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in winter. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) axe performed for the period 1984-2004. Combined with GPCP precipitation data, cloud water cycle index (CWCI) is also calculated. The climatic distributions of CWP axe found to be dependent on large-scale circulation, topographical features, water vapor transport and similar distribution features which are found in CWCI except in the Sichuan Basin. Influenced by the Asia monsoon, CWP over China exhibits very large seasonal variations in different regions. The seasonal cycles of CWCI in different regions are consistent and the largest CWCI occurs in July. The long-term trends of CWP and CWCI are investigated, too. Increasing trends of CWP are found during the period with the largest increase found in wintex. The decreasing trends of CWCI dominate most regions of China. The differences in long-term trends between CWP and CWCI suggest that CWP only can influence the variation of CWCI to a certain extent and that other factors need to be involved in cloud water cycle researches. This phenomenon reveals the complexity of the hydrological cycle related to cloud water. |
Author | 李兴宇 郭学良 朱江 |
AuthorAffiliation | Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 Graduate University of Chinese Academy of Sciences, Beijing 100049 |
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CitedBy_id | crossref_primary_10_2151_jmsj_2013_406 crossref_primary_10_1007_s00376_013_2153_9 crossref_primary_10_1016_j_atmosres_2013_10_006 crossref_primary_10_1016_j_atmosenv_2022_119065 crossref_primary_10_1016_j_earscirev_2023_104633 crossref_primary_10_1029_2018EA000424 crossref_primary_10_1007_s00376_014_0006_9 |
Cites_doi | 10.1007/s00376-001-0025-1 10.1175/1520-0442(2001)014<2833:LTCCAT>2.0.CO;2 10.1360/03wd0614 10.1007/BF02919316 10.1175/JCLI3568.1 10.1175/1520-0442(1997)010<2643:AWVOC>2.0.CO;2 10.1175/1520-0493(1990)118<1238:MOISMC>2.0.CO;2 10.1029/96JD01155 10.2151/jmsj.2004.761 10.1029/94JD01831 10.1007/s00382-005-0017-4 10.1175/1520-0442(2004)017<2702:CEOTDC>2.0.CO;2 10.1002/joc.693 10.1175/1520-0469(1985)042<2523:IPCIC>2.0.CO;2 10.1175/1520-0469(1996)053<2813:SSPOAI>2.0.CO;2 10.1175/1520-0477(1991)072<1848:TPLTFC>2.0.CO;2 10.1175/1520-0469(1993)050<1305:IOCCPU>2.0.CO;2 10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2 10.1029/98JD00592 10.1175/1520-0442(1996)009<2890:SVOLAI>2.0.CO;2 10.1029/2006GL026561 |
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Snippet | Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period... Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the period... Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) axe performed for the period... P4; Analyses of cloud water path (CWP) data over China available from the International Satellite Cloud Climatology Project (ISCCP) are performed for the... |
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SubjectTerms | Atmospheric Sciences Basins China Climate science Climatology Clouds Earth and Environmental Science Earth Sciences Geophysics/Geodesy Hydrologic cycle Hydrologic data Hydrology Mathematical analysis Meteorology Precipitation Seasonal variations Trends Water distribution Water vapor 气候特征 水云循环 水云路径 |
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Title | Climatic Features of Cloud Water Distribution and Cycle over China |
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